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Application of machine learning in early childhood development research: a scoping review
Benson, Faith Neema, Chelangat, Daisy, Brink Willie, Nzivo, Patrick Mwangala, Waljee, Akbar et al. ·
Summary
Written by AI, not yet AICS's view ·Key points
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Abstract
This scoping review was conducted to map the existing literature on the use of Machine Learning (ML) in early childhood development research, including its geographical distribution, to identify research gaps and inform future directions. The review focuses on applied ML techniques, data types, feature sets, outcomes, data splitting and validation strategies, model performance, model explainability, key themes, clinical relevance and reported limitations.